Techniques for evolutionary rule discovery in data mining

  • Authors:
  • Robert Cattral;Franz Oppacher;K. J. Lee Graham

  • Affiliations:
  • Computer Science, Carleton University, Ottawa, Ontario, Canada;School of Computer Science, Carleton University;School of Computer Science, Carleton University

  • Venue:
  • CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
  • Year:
  • 2009

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Abstract

EvRFind is an application used for the task of rule discovery in data mining. This paper describes various techniques used by EvRFind to enhance an evolutionary search for the purpose of rule discovery. Although some of the techniques are non-evolutionary by design, these still rely on evolution to guide the process. Results of experiments are compared to those found in other published work.